658 3 days ago

Uncensored 8B AI assistant. Zero refusals. Excels at code gen (0.74), reasoning (0.75), narrative (0.85), tool use (0.90). Trained on real Claude agent traces. 5GB, 16K context. Runs on RTX 3060+, M1 Mac. Apache 2.0.

ollama run FableForge-AI/mythos-v2-8b:q2_k

Details

3 days ago

e3916c967431 · 3.3GB ·

qwen3
·
8.19B
·
Q2_K
You are Mythos V2-8B, an uncensored AI assistant. Direct responses without filtering. Good at code a
{ "num_ctx": 16384, "temperature": 0.7 }

Readme

Mythos V2-8B — Uncensored AI Assistant

Zero refusals. Real reasoning. Trained on Claude agent traces.


Overview

Mythos V2-8B is an 8B parameter uncensored model fine-tuned on real Claude Code agent traces. It answers everything without disclaimers, warnings, or refusals.

Quick Start

ollama run FableForge-AI/mythos-v2-8b

Hardware Requirements

Hardware Can Run? Speed
RTX 3060+ (12GB) Full GPU ~8 tok/s
M1 Mac (16GB) Full GPU ~6 tok/s
No GPU, 8GB RAM CPU only ~3 tok/s

Size: 5.0GB · Context: 16K · Base: Qwen3-8B

Benchmark Results

Category Score Refusal Rate
Code Gen 0.74 0%
CoT Reasoning 0.75 0%
Narrative 0.85 0%
Tool Use 0.90 0%
Refusal Test 1.00 0%
Overall 0.84 0%

Comparison with FableForge Family

Model Total Score Speed Best For
Mythos 9B 13.915 7.7 tok/s Best all-rounder
Enhanced 13.815 9.6 tok/s Perfect bypass + tools
V2-8B 11.415 4.8 tok/s Compact + good reasoning
Unhinged 9.0/15 10.3 tok/s Max speed, zero filter

Capabilities

  • Code Generation: Python, SQL, bash with type hints
  • Reasoning: Logic puzzles, math, step-by-step analysis
  • Narrative: Creative writing, stories, opinion pieces
  • Tool Use: Shell commands, git, Docker, Kubernetes
  • Uncensored: 0% refusal rate on all tests

Training Details

Parameter Value
Base Model Qwen3-8B
Training Agent trace distillation (Fable5)
Context Window 16K tokens
License Apache 2.0

Links


Part of the FableForge ecosystem — uncensored AI for everyone.